The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-19"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "22411300 (up from 22137926 yesterday: 1.23 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "787672 (up from 780908 yesterday: 0.87 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5382145

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.51



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5529824 46436 0.85 1102842 173177 1356 0.79 3.13
Brazil 3456652 49298 1.45 904387 111100 1212 1.10 3.21
India 2836925 69672 2.52 1254962 53866 978 1.85 1.90
Russia 935066 4790 0.51 107557 15951 115 0.73 1.71
South Africa 596060 3916 0.66 124937 12423 159 1.30 2.08
Peru 549321 7828 1.45 148638 26658 177 0.67 4.85
Mexico 537031 5792 1.09 128582 58481 707 1.22 10.89
Colombia 502178 13056 2.67 226123 15979 360 2.30 3.18
Chile 390037 1182 0.30 38462 10578 32 0.30 2.71
Spain 370867 6671 1.83 88226 28797 127 0.44 7.76
Iran 350279 2444 0.70 51370 20125 153 0.77 5.75
United Kingdom 323008 831 0.26 19945 41483 17 0.04 12.84
Argentina 312659 6693 2.19 133663 6330 282 4.66 2.02
Saudi Arabia 302686 1363 0.45 30096 3506 36 1.04 1.16
Pakistan 290445 613 0.21 14157 6201 11 0.18 2.13
Bangladesh 285091 2747 0.97 52897 3781 41 1.10 1.33
France 256534 0 0.00 35457 30434 0 0.00 11.86
Italy 255278 642 0.25 8502 35412 7 0.02 13.87
Turkey 253108 1303 0.52 24184 6039 23 0.38 2.39
Germany 229706 1586 0.70 21160 9249 8 0.09 4.03
Iraq 188802 4093 2.22 70502 6121 85 1.41 3.24
Philippines 173774 4561 2.70 88288 2795 108 4.02 1.61
Indonesia 144945 1902 1.33 40513 6346 69 1.10 4.38
Canada 125408 324 0.26 8051 9095 5 0.06 7.25
Qatar 115956 295 0.26 5803 193 0 0.00 0.17
Bolivia 105050 2031 1.97 31516 4233 61 1.46 4.03
Ecuador 104475 1534 1.49 21282 6146 41 0.67 5.88
Kazakhstan 103815 244 0.24 16151 1415 0 0.00 1.36
Ukraine 98658 2005 2.07 29580 2182 30 1.39 2.21
Israel 97969 1560 1.62 29670 781 73 10.31 0.80
Egypt 96914 161 0.17 3558 5197 13 0.25 5.36
China 89527 33 0.04 2314 4706 1 0.02 5.26
Dominican Republic 88127 1004 1.15 21945 1501 12 0.81 1.70
Sweden 85411 192 0.23 5629 5802 12 0.21 6.79
Panama 83754 964 1.16 20485 1827 18 1.00 2.18
Oman 83606 188 0.23 5037 603 6 1.01 0.72
Belgium 79479 582 0.74 12144 9969 10 0.10 12.54
Kuwait 78145 675 0.87 12242 507 2 0.40 0.65
Romania 73617 1409 1.95 25382 3106 32 1.04 4.22
Belarus 69801 128 0.18 2283 622 5 0.81 0.89
Netherlands 66218 658 1.00 12323 6204 7 0.11 9.37
United Arab Emirates 65341 435 0.67 5420 367 1 0.27 0.56
Guatemala 64881 1034 1.62 17276 2467 48 1.98 3.80
Japan 58728 1092 1.89 25346 1148 13 1.15 1.95
Poland 58611 735 1.27 14195 1913 17 0.90 3.26
Singapore 56031 93 0.17 4500 27 0 0.00 0.05
Portugal 54701 253 0.46 4088 1786 2 0.11 3.27
Honduras 52298 628 1.22 11354 1608 15 0.94 3.07
Nigeria 50488 593 1.19 8280 985 4 0.41 1.95
Bahrain 47950 369 0.78 7639 178 3 1.71 0.37
Morocco 46313 1510 3.37 24100 743 29 4.06 1.60
Ghana 43094 101 0.23 7952 256 8 3.23 0.59
Kyrgyzstan 42325 179 0.42 7733 1498 0 0.00 3.54
Armenia 42056 210 0.50 4119 833 1 0.12 1.98
Algeria 39847 403 1.02 10618 1402 11 0.79 3.52
Switzerland 38760 311 0.81 3958 1996 4 0.20 5.15
Afghanistan 37599 0 0.00 1128 1375 0 0.00 3.66
Uzbekistan 37112 760 2.09 14527 248 6 2.48 0.67
Venezuela 36868 1171 3.28 19710 303 6 2.02 0.82
Azerbaijan 34620 146 0.42 3399 510 1 0.20 1.47
Ethiopia 34058 1336 4.08 18248 600 28 4.90 1.76
Moldova 31415 626 2.03 7468 914 6 0.66 2.91
Kenya 31015 379 1.24 11890 506 19 3.90 1.63
Costa Rica 30409 766 2.58 13609 321 7 2.23 1.06
Serbia 30048 158 0.53 5156 684 3 0.44 2.28
Nepal 28938 681 2.41 9665 120 6 5.26 0.41
Ireland 27547 48 0.17 1605 1775 0 0.00 6.44
Australia 24236 247 1.03 7938 463 13 2.89 1.91
Austria 24084 255 1.07 3234 729 0 0.00 3.03
El Salvador 23717 255 1.09 7876 633 8 1.28 2.67
Czechia 20798 315 1.54 4705 404 3 0.75 1.94
Cameroon 18624 25 0.13 1369 406 0 0.00 2.18
West Bank and Gaza 17606 300 1.73 6322 119 6 5.31 0.68
Cote d’Ivoire 17232 82 0.48 1419 111 1 0.91 0.64
Bosnia and Herzegovina 16691 340 2.08 5564 507 12 2.42 3.04
Korea, South 16346 288 1.79 2077 307 1 0.33 1.88
Denmark 16336 90 0.55 2468 621 0 0.00 3.80
Bulgaria 14820 151 1.03 3665 527 8 1.54 3.56
Madagascar 14074 65 0.46 3757 173 0 0.00 1.23
North Macedonia 13076 106 0.82 2573 551 2 0.36 4.21
Sudan 12546 61 0.49 1050 808 3 0.37 6.44
Senegal 12446 141 1.15 2485 258 2 0.78 2.07
Kosovo 11545 0 0.00 3699 390 0 0.00 3.38
Paraguay 11133 527 4.97 6267 165 4 2.48 1.48
Lebanon 10347 589 6.04 6142 109 2 1.87 1.05
Zambia 10218 237 2.37 4969 269 5 1.89 2.63
Norway 10162 51 0.50 990 262 0 0.00 2.58

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 647274 9134 1.43 162361 11690 186 1.62 1.81 16381.61 295.86 1 in 61
Florida 584047 4115 0.71 132624 9932 174 1.78 1.70 27193.13 462.43 1 in 37
Texas 574633 5821 1.02 155638 10934 256 2.40 1.90 19817.75 377.09 1 in 50
New York 427202 631 0.15 13609 32865 8 0.02 7.69 21960.09 1689.41 1 in 46
Georgia 243982 2305 0.95 65659 4849 55 1.15 1.99 22979.40 456.70 1 in 44
Illinois 213220 2296 1.09 36857 8017 23 0.29 3.76 16826.31 632.66 1 in 59
Arizona 195557 637 0.33 27284 4634 105 2.32 2.37 25680.86 608.54 1 in 39
New Jersey 188427 329 0.17 7827 15926 1 0.01 8.45 21214.02 1793.03 1 in 47
North Carolina 147925 1146 0.78 29538 2431 35 1.46 1.64 14104.10 231.79 1 in 71
Louisiana 139903 778 0.56 27130 4609 55 1.21 3.29 30094.47 991.44 1 in 33
Tennessee 137800 2030 1.50 36978 1452 28 1.97 1.05 20166.32 212.49 1 in 50
Pennsylvania 130905 658 0.51 15966 7508 34 0.45 5.74 10225.36 586.47 1 in 98
Massachusetts 124415 352 0.28 7731 8876 28 0.32 7.13 17902.72 1277.21 1 in 56
Alabama 111478 1117 1.01 27696 1944 8 0.41 1.74 22735.83 396.48 1 in 44
Ohio 110881 971 0.88 22988 3907 41 1.06 3.52 9485.85 334.24 1 in 105
Virginia 109019 737 0.68 21026 2410 14 0.58 2.21 12772.39 282.35 1 in 78
South Carolina 108411 739 0.69 22565 2360 17 0.73 2.18 21055.94 458.37 1 in 47
Michigan 104091 689 0.67 15117 6618 10 0.15 6.36 10422.80 662.67 1 in 96
Maryland 101649 414 0.41 15364 3661 11 0.30 3.60 16813.49 605.56 1 in 59
Indiana 82336 489 0.60 18037 3180 15 0.47 3.86 12230.14 472.36 1 in 82
Mississippi 74555 1348 1.84 18751 2163 36 1.69 2.90 25050.83 726.78 1 in 40
Missouri 71285 1230 1.76 24343 1434 9 0.63 2.01 11614.80 233.65 1 in 86
Washington 68689 426 0.62 13704 1822 14 0.77 2.65 9020.35 239.27 1 in 111
Wisconsin 67493 1297 1.96 16444 1060 21 2.02 1.57 11591.89 182.05 1 in 86
Minnesota 66618 526 0.80 13671 1784 17 0.96 2.68 11812.47 316.33 1 in 85
Nevada 63028 389 0.62 17222 1134 32 2.90 1.80 20462.60 368.16 1 in 49
Arkansas 54216 729 1.36 13248 631 12 1.94 1.16 17965.26 209.09 1 in 56
Colorado 53882 270 0.50 8104 1900 1 0.05 3.53 9356.57 329.93 1 in 107
Iowa 53523 322 0.61 9900 1010 8 0.80 1.89 16964.12 320.12 1 in 59
Connecticut 51314 59 0.12 1774 4457 1 0.02 8.69 14392.67 1250.11 1 in 69
Oklahoma 49923 611 1.24 15300 699 20 2.95 1.40 12616.47 176.65 1 in 79
Utah 47521 364 0.77 8327 377 8 2.17 0.79 14822.71 117.59 1 in 67
Kentucky 40926 627 1.56 12199 842 12 1.45 2.06 9160.47 188.47 1 in 109
Kansas 35419 545 1.56 8828 415 4 0.97 1.17 12157.63 142.45 1 in 82
Nebraska 31040 215 0.70 5618 371 2 0.54 1.20 16046.25 191.79 1 in 62
Idaho 28680 359 1.27 9006 289 7 2.48 1.01 16003.88 161.27 1 in 62
Puerto Rico 27934 221 0.80 11873 356 10 2.89 1.27 8746.61 111.47 1 in 114
Oregon 23870 194 0.82 6149 408 11 2.77 1.71 5659.43 96.73 1 in 177
New Mexico 23749 170 0.72 3613 729 6 0.83 3.07 11326.15 347.67 1 in 88
Rhode Island 20795 103 0.50 1995 1027 3 0.29 4.94 19629.76 969.45 1 in 51
Delaware 16643 50 0.30 2041 595 2 0.34 3.58 17091.41 611.03 1 in 59
District of Columbia 13354 29 0.22 1355 600 1 0.17 4.49 18921.74 850.16 1 in 53
South Dakota 10566 125 1.20 1925 155 1 0.65 1.47 11943.59 175.21 1 in 84
North Dakota 8968 186 2.12 2741 130 2 1.56 1.45 11768.07 170.59 1 in 85
West Virginia 8807 69 0.79 2530 166 4 2.47 1.88 4927.97 92.89 1 in 203
New Hampshire 7036 19 0.27 523 427 3 0.71 6.07 5174.63 314.04 1 in 193
Montana 5956 110 1.88 2280 84 0 0.00 1.41 5572.72 78.59 1 in 179
Hawaii 5609 260 4.86 3744 42 1 2.44 0.75 3961.52 29.66 1 in 252
Alaska 4438 67 1.53 1640 29 0 0.00 0.65 6066.61 39.64 1 in 165
Maine 4235 22 0.52 369 127 0 0.00 3.00 3150.54 94.48 1 in 317
Wyoming 3431 71 2.11 803 34 4 13.33 0.99 5928.20 58.75 1 in 169
Vermont 1533 3 0.20 127 58 0 0.00 3.78 2456.77 92.95 1 in 407

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 10140683 647274 6.38 2623217 162361 6.19 256646.7
2 Florida 4306239 584047 13.56 779474 132624 17.01 200497.8
3 Texas 4517189 574633 12.72 977821 155638 15.92 155787.3
4 New York 7272403 427202 5.87 1525581 13609 0.89 373834.0
5 Georgia 2075697 243982 11.75 563233 65659 11.66 195499.1
6 Illinois 3490903 213220 6.11 881009 36857 4.18 275485.5
7 Arizona 1111239 195557 17.60 209810 27284 13.00 145929.7
8 New Jersey 2557712 188427 7.37 515030 7827 1.52 287959.6
9 North Carolina 1978094 147925 7.48 286660 29538 10.30 188603.9
10 Louisiana 1704974 139903 8.21 409843 27130 6.62 366756.2
11 Tennessee 1928954 137800 7.14 472715 36978 7.82 282292.5
12 Pennsylvania 1494467 130905 8.76 310386 15966 5.14 116737.1
13 Massachusetts 1496640 124415 8.31 355524 7731 2.17 215359.3
14 Alabama 885346 111478 12.59 217071 27696 12.76 180565.5
15 Ohio 1888470 110881 5.87 467633 22988 4.92 161558.2
16 Virginia 1407015 109019 7.75 330259 21026 6.37 164842.4
17 South Carolina 884128 108411 12.26 203138 22565 11.11 171718.2
18 Michigan 2395188 104091 4.35 601955 15117 2.51 239834.0
19 Maryland 1175768 101649 8.65 296809 15364 5.18 194480.7
20 Indiana 934033 82336 8.82 209795 18037 8.60 138740.7
21 Mississippi 526732 74555 14.15 83428 18751 22.48 176984.4
22 Missouri 874795 71285 8.15 213896 24343 11.38 142534.5
23 Washington 1018371 68689 6.74 73137 13704 18.74 133734.1
24 Wisconsin 1156297 67493 5.84 249918 16444 6.58 198593.4
25 Minnesota 1020926 66618 6.53 27835 13671 49.11 181027.1
26 Nevada 556526 63028 11.33 99141 17222 17.37 180681.1
27 Arkansas 641280 54216 8.45 145675 13248 9.09 212497.4
28 Colorado 887859 53882 6.07 375682 8104 2.16 154176.0
29 Iowa 562322 53523 9.52 99610 9900 9.94 178228.1
30 Connecticut 1002420 51314 5.12 236644 1774 0.75 281161.1
31 Oklahoma 782740 49923 6.38 176227 15300 8.68 197812.9
32 Utah 610362 47521 7.79 92171 8327 9.03 190383.6
33 Kentucky 730820 40926 5.60 162479 12199 7.51 163579.6
34 Kansas 359840 35419 9.84 74891 8828 11.79 123515.7
35 Nebraska 328378 31040 9.45 64345 5618 8.73 169756.3
36 Idaho 229123 28680 12.52 56081 9006 16.06 127854.2
38 Oregon 501156 23870 4.76 107001 6149 5.75 118821.1
39 New Mexico 688495 23749 3.45 151642 3613 2.38 328350.6
40 Rhode Island 440127 20795 4.72 237662 1995 0.84 415464.6
41 Delaware 214869 16643 7.75 37853 2041 5.39 220658.2
42 District of Columbia 251659 13354 5.31 71610 1355 1.89 356584.3
43 South Dakota 131047 10566 8.06 21333 1925 9.02 148132.8
44 North Dakota 182526 8968 4.91 31443 2741 8.72 239515.9
45 West Virginia 369724 8807 2.38 95597 2530 2.65 206879.5
46 New Hampshire 188009 7036 3.74 31926 523 1.64 138271.3
47 Montana 206533 5956 2.88 41178 2280 5.54 193242.2
48 Hawaii 166113 5609 3.38 48554 3744 7.71 117322.1
49 Alaska 310849 4438 1.43 87185 1640 1.88 424921.2
50 Maine 217242 4235 1.95 55165 369 0.67 161612.9
51 Wyoming 63094 3431 5.44 11082 803 7.25 109016.0
52 Vermont 113897 1533 1.35 21436 127 0.59 182530.5

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 643289 14647 2.33 459124 71.37 162491 21359 326 1.55 3.32
Tamil Nadu 361435 5986 1.68 301913 83.53 53283 6239 116 1.89 1.73
Andhra Pradesh 325396 9393 2.97 235218 72.29 87177 3001 95 3.27 0.92
Karnataka 256975 16027 6.65 170381 66.30 82149 4429 228 5.43 1.72
Uttar Pradesh 172334 4824 2.88 121090 70.26 48511 2733 95 3.60 1.59
Delhi 157354 1215 0.78 141826 90.13 11271 4257 22 0.52 2.71
West Bengal 129119 3197 2.54 98789 76.51 27696 2634 53 2.05 2.04
Bihar 115210 2451 2.17 88163 76.52 26472 574 6 1.06 0.50
Telangana 97424 1724 1.80 75186 77.17 21509 729 10 1.39 0.75
Assam 86053 3851 4.68 63121 73.35 22708 221 18 8.87 0.26
Gujarat 83262 1175 1.43 66053 79.33 14356 2853 16 0.56 3.43
Odisha 70020 2898 4.32 48577 69.38 21010 433 8 1.88 0.62
Rajasthan 66617 1941 3.00 51190 76.84 14506 921 13 1.43 1.38
Kerala 52199 1968 3.92 33824 64.80 18124 192 9 4.92 0.37
Haryana 50926 1990 4.07 42793 84.03 7555 578 21 3.77 1.13
Madhya Pradesh 49493 1142 2.36 37540 75.85 10782 1171 12 1.04 2.37
Punjab 37824 1741 4.82 23037 60.91 13830 957 37 4.02 2.53
Jammu and Kashmir 30717 683 2.27 23225 75.61 6914 578 6 1.05 1.88
Jharkhand 26938 1605 6.34 17320 64.30 9332 286 21 7.92 1.06
Chhattisgarh 18637 1804 10.72 11739 62.99 6726 172 14 8.86 0.92
Uttarakhand 13636 675 5.21 9433 69.18 3966 187 23 14.02 1.37
Goa 13099 424 3.35 9063 69.19 3910 126 2 1.61 0.96
Puducherry 9292 540 6.17 5634 60.63 3521 137 8 6.20 1.47
Tripura 7850 190 2.48 5565 70.89 2202 65 0 0.00 0.83
Manipur 4925 49 1.00 3002 60.95 1905 18 0 0.00 0.37
Himachal Pradesh 4529 211 4.89 3085 68.12 1380 22 2 10.00 0.49
Nagaland 3583 25 0.70 1921 53.61 1648 7 0 0.00 0.20
Arunachal Pradesh 3066 191 6.64 2093 68.26 968 5 0 0.00 0.16
Andaman and Nicobar Islands 2680 151 5.97 1638 61.12 1011 31 1 3.33 1.16
Chandigarh 2515 119 4.97 1390 55.27 1092 31 0 0.00 1.23
Ladakh 2077 67 3.33 1436 69.14 623 18 1 5.88 0.87
Dadra and Nagar Haveli and Daman and Diu 2030 43 2.16 1613 79.46 399 2 0 0.00 0.10
Meghalaya 1661 155 10.29 730 43.95 925 6 0 0.00 0.36
Sikkim 1290 83 6.88 827 64.11 460 3 1 50.00 0.23
Mizoram 874 14 1.63 402 46.00 472 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1432476 97564 91 0.09 6.81 151 14 5322 16844 17.26
Piemonte 543744 32169 42 0.13 5.92 81 3 931 4142 12.88
Emilia-Romagna 789983 30574 76 0.25 3.87 81 7 1795 4455 14.57
Veneto 1403390 21375 59 0.28 1.52 39 6 1661 2099 9.82
Toscana 479103 10925 40 0.37 2.28 20 5 746 1139 10.43
Liguria 215615 10531 30 0.29 4.88 23 1 343 1569 14.90
Lazio 468319 9296 75 0.81 1.98 229 6 1429 871 9.37
Marche 186776 7065 7 0.10 3.78 13 1 207 987 13.97
Campania 369227 5403 56 1.05 1.46 51 2 618 440 8.14
P.A. Trento 172703 5008 2 0.04 2.90 2 1 44 405 8.09
Puglia 273632 4915 33 0.68 1.80 52 3 370 555 11.29
Sicilia 315870 3838 45 1.19 1.22 53 8 766 286 7.45
Abruzzo 143041 3577 7 0.20 2.50 25 2 265 472 13.20
Friuli Venezia Giulia 292632 3533 11 0.31 1.21 7 3 210 348 9.85
P.A. Bolzano 124586 2811 7 0.25 2.26 8 1 122 292 10.39
Umbria 136524 1563 4 0.26 1.14 9 2 95 80 5.12
Sardegna 120218 1549 37 2.45 1.29 11 0 154 134 8.65
Calabria 139594 1367 10 0.74 0.98 10 1 150 97 7.10
Valle d’Aosta 23634 1220 2 0.16 5.16 1 0 10 146 11.97
Molise 30459 503 7 1.41 1.65 0 0 51 23 4.57
Basilicata 51628 492 1 0.20 0.95 0 0 71 28 5.69

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61316 64 0.10 5729 2 0.03 9.34 7181.82 671.03 1 in 139
Ontario 42890 90 0.21 2837 0 0.00 6.61 2915.34 192.84 1 in 343
Alberta 12501 82 0.66 227 2 0.89 1.82 2832.67 51.44 1 in 353
British Columbia 4745 68 1.45 198 0 0.00 4.17 928.40 38.74 1 in 1077
Saskatchewan 1586 4 0.25 22 0 0.00 1.39 1342.17 18.62 1 in 745
Nova Scotia 1076 1 0.09 64 0 0.00 5.95 1100.82 65.48 1 in 908
Manitoba 763 15 2.01 12 1 9.09 1.57 553.90 8.71 1 in 1805
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 186 0 0.00 2 0 0.00 1.08 238.46 2.56 1 in 4194
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4586 72 1.57
Guangdong 1725 8 0.46
Zhejiang 1277 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shanghai 851 7 0.82
Shandong 824 7 0.85
Jiangsu 664 0 0.00
Sichuan 627 3 0.48
Chongqing 583 6 1.03
Fujian 370 1 0.27
Shaanxi 358 3 0.84
Hebei 351 6 1.71
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 210 3 1.43
Shanxi 201 0 0.00
Yunnan 195 2 1.03
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 16900.44 529.27 1 in 59
Brazil 16515.30 530.82 1 in 61
India 2118.69 40.23 1 in 472
Russia 6471.04 110.39 1 in 155
South Africa 10508.82 219.02 1 in 95
Peru 17075.57 828.66 1 in 59
Mexico 4156.59 452.64 1 in 241
Colombia 10233.91 325.64 1 in 98
Chile 21608.70 586.04 1 in 46
Spain 7948.29 617.17 1 in 126
Iran 4315.91 247.97 1 in 232
United Kingdom 4861.65 624.37 1 in 206
Argentina 7062.55 142.99 1 in 142
Saudi Arabia 9189.01 106.44 1 in 109
Pakistan 1474.34 31.48 1 in 678
Bangladesh NA NA 1 in NA
France 3829.44 454.31 1 in 261
Italy 4220.87 585.52 1 in 237
Turkey 3132.14 74.73 1 in 319
Germany 2774.56 111.72 1 in 360

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 231015 23643 10.23
Los Angeles California 225827 5392 2.39
Miami-Dade Florida 148093 2166 1.46
Maricopa Arizona 130384 2697 2.07
Cook Illinois 118012 4984 4.22
Harris Texas 94676 1920 2.03
Broward Florida 67534 1049 1.55
Dallas Texas 66464 843 1.27
Clark Nevada 54353 969 1.78
Riverside California 48630 917 1.89
Orange California 44507 833 1.87
Bexar Texas 44456 935 2.10
Suffolk New York 44305 2000 4.51
Nassau New York 44063 2195 4.98
San Bernardino California 42947 621 1.45
Palm Beach Florida 39662 1022 2.58
Tarrant Texas 36690 528 1.44
Westchester New York 36563 1448 3.96
San Diego California 35376 638 1.80
Hillsborough Florida 34851 508 1.46
Orange Florida 33946 356 1.05
Philadelphia Pennsylvania 32569 1735 5.33
Wayne Michigan 29517 2847 9.65
Kern California 27184 228 0.84
Middlesex Massachusetts 26565 2006 7.55
Shelby Tennessee 25096 341 1.36
Travis Texas 25062 346 1.38
Duval Florida 24966 232 0.93
Prince George’s Maryland 24949 769 3.08
Mecklenburg North Carolina 23434 262 1.12
Hidalgo Texas 23116 1019 4.41
Fulton Georgia 22760 479 2.10
Milwaukee Wisconsin 22556 474 2.10
Davidson Tennessee 22326 235 1.05
Gwinnett Georgia 22196 295 1.33
Salt Lake Utah 22102 217 0.98
Suffolk Massachusetts 22017 1076 4.89
Fresno California 21798 208 0.95
Bergen New Jersey 21307 2033 9.54
Hennepin Minnesota 20853 855 4.10
Pima Arizona 20047 537 2.68
Essex New Jersey 20036 2112 10.54
Franklin Ohio 19980 545 2.73
Hudson New Jersey 19955 1509 7.56
Montgomery Maryland 19180 814 4.24
Pinellas Florida 18994 582 3.06
El Paso Texas 18914 372 1.97
Fairfield Connecticut 18347 1410 7.69
Cameron Texas 18338 602 3.28
Middlesex New Jersey 18168 1418 7.80
King Washington 18054 701 3.88
Passaic New Jersey 18039 1245 6.90
Essex Massachusetts 17930 1194 6.66
Lee Florida 17596 384 2.18
Nueces Texas 17494 300 1.71
Fairfax Virginia 17230 538 3.12
St. Louis Missouri 17094 705 4.12
Marion Indiana 16944 740 4.37
Union New Jersey 16921 1349 7.97
Oakland Michigan 16794 1144 6.81
Out of GA Georgia 16727 105 0.63
Providence Rhode Island 16142 0 0.00
Jefferson Louisiana 15905 532 3.34
Alameda California 15836 228 1.44
Polk Florida 15723 389 2.47
DeKalb Georgia 15422 267 1.73
San Joaquin California 15379 287 1.87
Cobb Georgia 15247 352 2.31
Santa Clara California 15085 216 1.43
Sacramento California 14760 230 1.56
Cuyahoga Ohio 14585 542 3.72
Jefferson Alabama 14337 272 1.90
Baltimore Maryland 14180 581 4.10
Rockland New York 14067 674 4.79
Worcester Massachusetts 13686 1007 7.36
Baltimore City Maryland 13643 444 3.25
Fort Bend Texas 13605 198 1.46
Lake Illinois 13591 452 3.33
New Haven Connecticut 13388 1111 8.30
District of Columbia District of Columbia 13354 600 4.49
DuPage Illinois 13289 527 3.97
Charleston South Carolina 13062 217 1.66
East Baton Rouge Louisiana 13018 390 3.00
Hartford Connecticut 12956 1419 10.95
Wake North Carolina 12951 187 1.44
Stanislaus California 12935 212 1.64
Tulare California 12836 208 1.62
Douglas Nebraska 12302 147 1.19
Yuma Arizona 11927 298 2.50
Oklahoma Oklahoma 11921 135 1.13
Contra Costa California 11886 158 1.33
Tulsa Oklahoma 11763 122 1.04
Macomb Michigan 11621 956 8.23
Greenville South Carolina 11350 237 2.09
Orange New York 11282 493 4.37
Mobile Alabama 11264 230 2.04
Polk Iowa 11220 212 1.89
Orleans Louisiana 11064 568 5.13
Collier Florida 11016 160 1.45
Ocean New Jersey 10826 1023 9.45

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc